Some aspects include a schedule development method for a robotic floor-cleaning device that recognizes patterns in user input to automatically devise a work schedule.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The method of claim 1, wherein the suggested schedule is inferred using a machine learning algorithm.
3. The method of claim 2, wherein the machine learning algorithm uses at least a plurality of user inputs historically provided to the software application to infer the suggested schedule.
4. The method of claim 3, wherein the plurality of user inputs designates at least a plurality of schedules previously executed by the robotic floor-cleaning device at a particular past date and time specified in each of the plurality of schedules.
5. The method of claim 2, wherein the machine learning algorithm comprises reinforcement learning.
7. The method of claim 1, wherein the internet-connected device comprises at least one of: a remote control, a smartphone, a computer, and a tablet.
10. The system of claim 9, wherein the suggested schedule is inferred using a machine learning algorithm.
11. The system of claim 10, wherein the machine learning algorithm uses at least a plurality of user inputs historically provided to the software application to infer the suggested schedule.
12. The system of claim 11, wherein the plurality of user inputs designates at least a plurality of schedules previously executed by the robotic floor-cleaning device at a particular past date and time specified in each of the plurality of schedules.
13. The system of claim 10, wherein the machine learning algorithm comprises reinforcement learning.
15. The system of claim 9, wherein the internet-connected device comprises at least one of: a remote control, a smartphone, a computer, and a tablet.
18. The robotic floor-cleaning device of claim 17, wherein the suggested schedule is inferred using a machine learning algorithm.
19. The robotic floor-cleaning device of claim 18, wherein the machine learning algorithm uses at least a plurality of user inputs historically provided to the software application to infer the suggested schedule, wherein the plurality of user inputs designates at least a plurality of schedules previously executed by the robotic floor-cleaning device at a particular past date and time specified in each of the plurality of schedules.
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June 13, 2022
January 3, 2023
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